Master-class November 2021: General Linear Models: Online

This course is designed as an introduction to general linear models (GLMs). GLMs give you a common way to specify different models using a common procedure thereby enabling researchers to easily adjust models to allow for different types of outcomes (e.g., non-Gaussian or discrete).

 

Participants will be provided exercises and solutions in Stata, R and Python software.

 

 

This course is being held online via Zoom and run on Australian Eastern Standard Time (UTC +10)*

*(Melbourne, Sydney, Canberra time)

 

 

Dates: 
Friday, November 26, 2021 - Saturday, November 27, 2021
Early bird cutoff date: 
Wednesday, October 20, 2021
Course details:

This course is designed as an introduction to general linear models (GLMs).

GLMs give you a common way to specify different models using a common procedure, thereby enabling researchers to easily adjust models to allow for different types of outcomes (e.g., non-Gaussian or discrete).

 

 

This course will be offered online via Zoom And will run to the following timetable:

 

  • 9.30am -11.00am: Instructional Zoom session
  • 11.00am-11.30am: Break
  • 11.30am-12.30pm: Instructional Zoom session
  • 12:30pm-1.30pm: Lunch
  • 1.30pm-3.00pm: Instructional Zoom session
  • 3.00pm-3.30pm: Break
  • 3.30pm-4.30pm:  Exercises and discussion

 

Please note: Courses will run on Australian Eastern Standard Time (GMT +10)

 

 

 
Master Class - runs over 2 days
Course dates: Friday 26 November 2021 - Saturday 27 November 2021
Instructor: 
Venue: 
Online
Week: 
Week 1
About this course: 

GLMs give you a common way to specify different models using a common procedure thereby enabling researchers to easily adjust models to allow for different types of outcomes (e.g., non-Gaussian or discrete).

 

There are many occasions when researchers encounter binary and count outcomes, and the GLM enables them to test different models for their outcome. These models have been widely used in areas such as pricing techniques in the insurance industry and research on remote working of IT and E-Commerce industry employees during the Coronavirus (Covid-19) Pandemic.

 

This course will provide participants with the ability to identify the need to use a GLM for their analysis and the correct interpretation and checking their models.

 

Discussion of some of the uses of GLMs in publications will be discussed at the end of the course.

 

Course syllabus: 

This course is broken up into the following sections:

 

Part I: Introduction to GLMs
Part II: Models for Binary Data
Part III: Models for Count Data
Part IV: GLM with the Gamma distribution
Part V: GLMs in Publications

 

Participants will be given time to do some exercises on their own to practise what they have learned.

 

Exercises and solutions will be provided in Stata, R and Python software.

 

Course format: 

This workshop will take place online using Zoom.

You will need your own computer with Stata, or Python and/or R installed, and an internet connection.

A second screen/monitor is recommended.

Recommended Background: 

This course assumes that participants have:

 

(1) Sound familiarity with at least one of the three software packages Stata, R and/or Python.

(2) sufficient understanding of statistics to be able to comprehend the material covered in the course outline, such as a basic grounding in multiple regression (e.g., linear, logistic, Poisson).

(3) access to either Stata or R and/or Python.

(4) some experience in using Microsoft Word and Excel or their equivalent.

(5) experience using a text editor such as Notepad.

 

Recommended Texts: 

Course notes will be supplied. Please include a shipping address when you enrol. Your notes will be express posted to this address.

 

No specific references are suggested but a number will be supplied with the notes handed out for the course.

Course fees
Early bird Member: 
$1,160
Early bird Non Member: 
$1,980
Early bird full time student Member: 
$720
Member: 
$1,480
Non Member: 
$2,280
Full time student Member: 
$1,280
Terms and Conditions: 

1. BOOKING - ACSPRI does not accept ‘expressions of interest’ for course places, i.e. all bookings, are considered firm, and a cancellation fee is charged if you cancel your booking after the early-bird date.

 

2. DISCOUNT RATE – The discounted rate for ACSPRI members is available to all staff and students of member organisations. To be eligible for this rate:

The course fee must be paid by either the member organisation or by you. Where fees are paid by a non-member organisation the non-member rate applies:and
You must either have a valid email address issued by the member organisation; or you must hold, or have a right to hold, a current staff or student identity card from the member organisation.

In addition, to be eligible for a full time student discount the participant must:

Hold, or have a right to hold, a current student identity card from the member organisation;
Be enrolled as a full-time student;
Make payment in full with your application, arrange electronic funds transfer (EFT), or contact ACSPRI to advise credit card details for payment, by the early-bird closing date;
Provide ACSPRI with contact details of your supervisor, so we can request them to confirm your eligibility for the full time student rate.

The early bird rate applies to all bookings paid in full by the early bird close date, otherwise you will be charged at the standard rate.

 

 

3. REFUNDS & CANCELLATIONS - Course fees are not refundable unless:

we cancel the course in which you have enrolled; or
you cancel your enrolment before the early-bird closing date.

A cancellation fee of $250 will be charged if you cancel within the period from the early-bird closing date of and one week prior to the commencement of the program. The full course fee will be charged if you cancel within 1 week of the beginning of your course.

 

4. PRE-REQUISITES - Course descriptions specify course pre-requisites. You must undertake to meet the pre-requisites of the course(s) in which you enrol. If in any doubt, you should contact ACSPRI prior to enrolling.

Venues: 

Delivery of this course is online - via Zoom.

 

Please ensure you have the following:

  • Reliable Internet connection with at least 5Gb per day of data available (i.e. a 5 day course will use about 25Gb of data just on the Zoom application)
  • A computer/laptop with the Zoom application installed (free)
  • A webcam (built in to most laptops)
  • A headset with a microphone (not required but ideal)
  • A second monitor/screen if possible

 

Please also check the course page for specific software requirements (if any).

 

Venue and Timetable: 

You will be attending from home, and each course may specify a slightly different timing schedule. Please expect around 4 "contact" hours per day, with the remainder of the usual working day for exercises, group work and self-directed activities.

All times specified are in Australian Eastern Time (Melbourne/Sydney/Canberra time)